The Role EM will be responsible for leading a team of application and Front-end and Back-end engineers to drive innovation in full-stack product development. The role will expect you to relentlessly improve performance & scalability. Should have the Knack to proactively learn about the system & fuel innovation. You are the one if you take pride in your work, love working with a compact team, and are committed to the product vision and producing high-quality code together with your team. You are expected to be Technically Hands-on, with prior experience in scalable Architecture, and good at inspiring your team to achieve their best. You are the one if you believe that you can make the World better by solving real World Problems. Strong problem solving skills and working closely with other stakeholders like the Product Manager would help in a big way to succeed in this role. Skills 5+ years of experience in developing products with a strong and handson Backend Engineering experience. At least 2 years of experience in leading a team of 4-15 or more software engineers. Should have a good understanding of Front end and should also be able to guide the front end team In this role. Technology Stack MySQL, NoSql, redis, Python, Linux, AWS / GCP. Desired Skills Programming languages - Python (Django), NodeJs, ReactJS Microservices RESTful Server development JMS (ActiveMQ, Kafka/RabbitMQ) NoSql Databases - MongoDB / CouchDB / CouchBase / Cassandra / Redis Docker Expertise of relational databases CI/CD - Jenkins Git Exposure to Android APP and ReactJS would be a bonus
The Role Drive end-to-end project execution with a proactive, ownership-driven mindset. Mentor team members and foster a collaborative, high-performing environment. Work closely with key stakeholders to identify opportunities for innovation and deliver business value. Stay up to date with generative AI and LLM advancements, sharing insights to guide strategy. Build and maintain tools, libraries, and frameworks to support scalable AI development. Collaborate cross-functionally to align goals, contribute to roadmaps, and ensure seamless system integration. Apply strong problem-solving and communication skills to drive impactful outcomes. Skills Must Have Skills: Computer Vision: Proficient in image classification, object detection, segmentation, and generation using PyTorch and pretrained models (e.g., YOLO, DETR, CLIP). Generative AI & Open-Source LLMs: Hands-on with LangChain, LlamaIndex, PEFT, quantization, RLHF, and vector-based reasoning. Built agent-based systems and multimodal pipelines using open-source models. Strong understanding of Transformer architecture and attention mechanisms. Proficient with Hugging Face tools. Retrieval-Augmented Generation (RAG): Deep experience in RAG pipelines using dense/sparse retrieval. Integrated LLMs with vector databases (e.g., ChromaDB, PGVector) for context-aware generation and semantic search. Prompt Engineering: Expert in prompt design using few-shot, zero-shot, CoT, ToT, and ReAct techniques. Skilled in optimizing prompts for specific outcomes and enhancing LLM reasoning. Programming & MLOps: Proficient in Python, PyTorch, FastAPI, Docker, and Git. Experience deploying models via REST APIs across AWS, GCP, and Azure. Ml&dl: Strong grasp of supervised, unsupervised, and deep learning (LSTMs, RNNs, CNNs). Proficient in loss functions and regularization techniques to mitigate overfitting and improve generalization. Good To Have Skills: Natural Language Processing (NLP): Skilled in text preprocessing, tokenization, embeddings, and sentiment analysis. Experienced with core NLP tasks including classification, summarization, translation, and QA. Data Engineering: Built scalable search systems using Elasticsearch, AI search, ChromaDB, PGVector. Experience with end-to-end data pipelines for large-scale model training and inference.
The Role Design, build, and optimize ETL/ELT pipelines using Spark (Scala/PySpark) and modern data tools. Architect and manage data lakes and warehouses (AWS, Snowflake, ADF) with a strong focus on data modelling and migration. Develop real-time streaming solutions with Kafka Streams (Java) and ensure high data reliability. Collaborate with cross-functional teams to deliver scalable, AI-ready data solutions and analytics support. Contribute to CI/CD, containerization (Docker/Kubernetes), and uphold best practices in data engineering. Mentor junior engineers and drive continuous improvement within the team. Skills 4-6 years in Data Engineering SQL, Python, and Java/Scala knowledge At least one of Snowflake / Databricks / Azure Data Factory / dbt At least one of PostgreSQL / Oracle / MySQL / SQL Server Experience in building ETL pipelines AWS services (S3, RDS, Glue, EMR, Redshift, Athena, Lambda) Data Migration, Data warehousing, Data modelling Knowledge about latest AI models (especially LLMs and VLMs) Good to have skills: Data Analytics skills Knowledge about Machine Learning techniques Either of Power BI / Tableau / Qlik / Looker Real-time streaming applications (Kafka streams/Java) Kubernetes, Docker
The Role EM will be responsible for leading a team of application and Front-end and Back-end engineers to drive innovation in full-stack product development. The role will expect you to relentlessly improve performance & scalability. Should have the Knack to proactively learn about the system & fuel innovation. You are the one if you take pride in your work, love working with a compact team, and are committed to the product vision and producing high-quality code together with your team. You are expected to be Technically Hands-on, with prior experience in scalable Architecture, and good at inspiring your team to achieve their best. You are the one if you believe that you can make the World better by solving real World Problems. Strong problem solving skills and working closely with other stakeholders like the Product Manager would help in a big way to succeed in this role. Skills 5+ years of experience in developing products with a strong and handson Backend Engineering experience. At least 2 years of experience in leading a team of 4-15 or more software engineers. Should have a good understanding of Front end and should also be able to guide the front end team In this role. Technology stack: MySQL, NoSql, redis, Python, Linux, AWS / GCP. Desired Skills Programming languages - Python (Django), NodeJs, ReactJS Microservices RESTful Server development JMS (ActiveMQ, Kafka/RabbitMQ) NoSql Databases - MongoDB / CouchDB / CouchBase / Cassandra / Redis Docker Expertise of relational databases CI/CD - Jenkins Git Exposure to Android APP and ReactJS would be a bonus
Role Overview: You will be leading a team of application and front-end and back-end engineers to drive innovation in full-stack product development. Your role will involve improving performance & scalability, proactively learning about the system, and fueling innovation. You should take pride in your work, enjoy working with a compact team, and be dedicated to the product vision. Being technically hands-on, with experience in scalable architecture, and inspiring your team to achieve their best is essential. If you believe in solving real-world problems to make the world better, this role is for you. Strong problem-solving skills and collaboration with stakeholders like the Product Manager are crucial for success in this position. Key Responsibilities: - Lead a team of 4-15 or more software engineers in developing products with a focus on back-end engineering - Guide the front-end team with your good understanding of front-end technologies - Drive innovation in full-stack product development to improve performance & scalability - Proactively learn about the system and fuel innovation - Take pride in your work, collaborate with a compact team, and commit to the product vision - Be technically hands-on, with experience in scalable architecture - Inspire your team to achieve their best - Solve real-world problems to make a positive impact - Collaborate closely with stakeholders like the Product Manager Qualifications Required: - 5+ years of experience in developing products with a strong focus on back-end engineering - At least 2 years of experience in leading a team of software engineers - Good understanding of front-end technologies - Experience with MySQL, NoSql, Redis, Python, Linux, AWS/GCP - Proficiency in Python (Django), NodeJs, ReactJS - Knowledge of microservices, RESTful server development, JMS (ActiveMQ, Kafka/RabbitMQ), and NoSql databases - Familiarity with Docker, relational databases, CI/CD (Jenkins), and Git - Exposure to Android APP and ReactJS would be a bonus,